Category: Amazon Aurora

This post is a continuation of Federated query support for Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL – Part 1. To recap, in 2003, the SQL standard added a new specification called SQL/MED (SQL Management of External Data). In 2011, PostgreSQL 9.1 was released with read-only support of this standard, and PostgreSQL 9.3 added […]

Disaster recovery (DR) ensures that businesses can continue to operate in the event of an unexpected disruption, such as a natural disaster, power outage, or cyberattack. Maintaining resilience is key to operational success for your business, and disaster recovery planning plays a vital role in that. Many regulators across multiple industries are mandating disaster recovery […]

Modifying the schema of a SQL database can be time-consuming, resource-intensive, and error-prone. It can also require long periods of downtime that negatively affects the end-user experience. In this post, I walk you through performing schema changes using Instant DDL and Amazon Relational Database Service (Amazon RDS) Blue/Green Deployments for Amazon Aurora MySQL-Compatible Edition with […]

Many customers use AWS Backup to automatically create Amazon Relational Database Service (Amazon RDS and Aurora) database snapshots. RDS database snapshots are a convenient way to protect your data and make it easy to recover in the event of an accident or disaster. If you’re using RDS Snapshots for long-term archival to meet compliance requirements […]

AWS launched Amazon Database Migration Accelerator (Amazon DMA) to accelerate your journey to AWS databases and analytics services and achieve cloud adoption benefits such as cost savings and performance improvements. Amazon DMA has assisted thousands of customers globally to migrate their workloads (database and application) to AWS databases and analytics services. In this post, we […]

To migrate an Oracle database to Amazon Aurora PostgreSQL-Compatible Edition, you usually need to perform both automated and manual tasks. The automated tasks include schema conversion and data migration, which can be handled with the AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS), respectively. The manual tasks involve post-schema AWS […]

Many customers are using Amazon Aurora PostgreSQL-Compatible Edition for running their business-critical database workloads in AWS. Aurora PostgreSQL is a fully managed, PostgreSQL-compatible, and ACID-compliant relational database engine that combines the speed, reliability, and manageability of Amazon Aurora with the simplicity and cost-effectiveness of open-source databases. In this post, we present a database authorization solution […]

This is the second post of the two-part series on how application developers can take advantage of Amazon Aurora features, capabilities, and complementary services. In Part 1, we shared the first five tips: Split the application SQL read/write load to enhance your app’s performance. For Java apps, use AWS JDBC drivers for faster app recovery […]

Amazon Aurora is a MySQL- and PostgreSQL-compatible enterprise class database built from the ground up for cloud-native applications. Application developers write their code using standard tooling and libraries such as JDBC drivers for Java applications, and NodeJS packages for JavaScript applications. Developers often treat Aurora like a typical RDBMS database engine and fail to utilize […]

Babelfish for Aurora PostgreSQL is a capability for Amazon Aurora PostgreSQL-Compatible Edition that adds an endpoint to PostgreSQL that understands the SQL Server wire protocol Tabular Data Stream (TDS), as well as commonly used T-SQL statements from client applications written for Microsoft SQL Server. Migrating from legacy SQL Server databases can be time-consuming and resource-intensive. […]